weka ☆

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Description:
Collection of machine learning algorithms for data mining tasks

Type: Cask | Latest Version: 3.8.6@0 | Tracked Since: Dec 28, 2025

Links: Homepage | formulae.brew.sh

Category: Ai ml

Tags: machine-learning data-mining java ai algorithms research

Install: brew install --cask weka

About:
Weka is a comprehensive suite of machine learning algorithms written in Java, designed for practical data mining tasks. It provides a collection of tools for data preprocessing, classification, regression, clustering, association rules, and visualization. The software serves as an accessible platform for researchers and developers to prototype and deploy ML models efficiently.

Key Features:

Graphical user interface (Explorer, Experimenter, Knowledge Flow)
Command-line interface for scripting and automation
Extensive collection of classification and clustering algorithms
Comprehensive data preprocessing and visualization tools
Java-based cross-platform compatibility

Use Cases:

Academic research and teaching machine learning concepts
Rapid prototyping and evaluation of data mining models
Small to medium-scale data analysis and pattern discovery

Alternatives:

scikit-learn – Python-based library with broader production integration but steeper learning curve
R (language) – Statistical computing environment with more programming required but greater flexibility

Version History

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